Modeling Forest Trees and Stands

Burkhart, Harold E.; Tomé, Margarida

doi:10.1007/978-90-481-3170-9

Cited by 500 publications

(380 citation statements)

References 308 publications

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“…This model form is regarded as "combining" the two predictors -dbh and h into the single predictor dbh 2 h (Burkhart & Tomé, 2012) and can be considered a generalization of the constant form factor equation, more appropriate to describe young (i.e., of smaller size) plant material. Indeed, the intercept of the combined variable equation obtains small positive value (see Table 4), which substitutes for the biomass value of the trees, which height is less than 1.3 m, i.e., where dbh 2 h = 0.…”

Section: Results / Rezultatimentioning

confidence: 99%

“…In the first stage, models for each particular biomass fraction are developed and in the next stage, they are combined in a system of equations that are fitted simultaneously taking into account the system additivity, which requires that the estimate of the total biomass equals the sum of the estimates of the individual compartments (Parresol, 1999;Burkhart & Tomé, 2012). Screening of the available woody biomass data from Paulownia sp.…”

Section: Model Development / Razvoj Modelamentioning

confidence: 99%

“…Biomass models for aboveground compartments of individual trees commonly utilize two principle tree dimensions as predictor variables: diameter at breast height (dbh, cm), which is used alone or together with the total tree height (h, m) (Clutter et al, 1983;Burkhart & Tomé, 2012). We performed graphical examination of the data, by plotting the stem dry mass against each of these two predictors ( Figure 6), to explore the nature of the mean relation and the variance distribution (Picard et al, 2012).…”

Section: Model Development / Razvoj Modelamentioning

confidence: 99%

“…To convert the predicted values to arithmetic, untransformed units, additional correction for bias is required, because the antilogarithm of lny is not an unbiased estimate of the arithmetic mean of y (Burkhart & Tomé, 2012). Various bias-correcting factors have been tested in terms of their ability to estimate biomass and predict biomass for new trees (Clifford et al, 2013).…”

Section: Model Development / Razvoj Modelamentioning

confidence: 99%

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Aboveground Dendromass Estimation of Juvenile Paulownia Sp.

Stankova¹,

Gyuleva²,

Dimitrov³

et al. 2017

GSFUBL

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Species of the genus Paulownia have been introduced to Bulgaria since the beginning of the XXth century and their multipurpose uses -as ornamental trees, for wood and biomass production -have been tested ever since. We present a study, which examines the early growth of four Paulownia clones at southern locations in Bulgaria and derives biometric models for dendromass estimation of juvenile Paulownia trees. The data originated from two experimental plantations established on nursery land using one-yearold in vitro propagated plant material. Forty six, 1 to 3 year-old saplings from two clones of P. tomentosa and two P. elongata × P. fortunei hybrids were sampled. Their stem biomass was modeled as a function of the breast height tree diameter and total tree height or the stem diameter alone and a set of goodness-of-fit criteria was applied to select the most adequate among the 29 tested formulations. The regression models were fitted in log-transformed form to the logarithm of the stem biomass and MM correction factor for bias was applied to the back-transformed prediction data. Two allometric relationships were derived, which adequately assess stem dendromass of young Paulownia sp. from easily measurable tree characteristics. Both models are applicable for stem biomass estimation of juvenile Paulownia trees of diameter up to 5 cm and total height up to 3.5 m.

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Section: Results / Rezultatimentioning

confidence: 99%

Section: Model Development / Razvoj Modelamentioning

confidence: 99%

Section: Model Development / Razvoj Modelamentioning

confidence: 99%

Section: Model Development / Razvoj Modelamentioning

confidence: 99%

See 2 more Smart Citations

Aboveground Dendromass Estimation of Juvenile Paulownia Sp.

Stankova¹,

Gyuleva²,

Dimitrov³

et al. 2017

GSFUBL

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“…This concern is not new and the first land classification system of productivity is attributed to the roman Cato in 234-139 B.C. (TESCH, 1981) and several methods for evaluating forest site productivity have been studied (BURKHART;TOMÉ, 2012).…”

Section: Introductionmentioning

confidence: 99%

Site Quality Curves for African Mahogany Plantations in Brazil

Ribeiro

Filho

Tomé

et al. 2016

CERNE

Self Cite

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Site quality estimation is an important tool in forest management since it is useful for modeling growth and yield for even-aged stands. Data from African mahogany (Khaya ivorensis A. Chev.) Brazilian plantations were used to develop a model to predict dominant height growth, comparing dynamic base-age invariant site index models with the guide curve method (static models). For the evaluation of the candidate models qualitative and quantitative criteria were used. We also verified the stability of the candidate models, preferring a model providing fewer site class changes when predicting site index from different ages. The Lundqvist-Korf function fitted with the guide curve method proved to be effective and accurate for site classification and dominant height predictions of African mahogany stands. The range of observed site index, at a reference age of 15, was between 17 and 33 meters. CURVAS DE CLASSIFICAÇÃO DE SÍTIO PARA PLANTIOS DE MOGNO AFRICANO NO BRASIL RESUMO:A estimativa da qualidade de sítio é uma importante ferramenta para o manejo florestal, uma vez que auxilia na modelagem do crescimento e produção de florestas equiâneas. Dados de plantios brasileiros de mogno africano (Khaya ivorensis A. Chev.) foram utilizados para avaliar modelos de crescimento em altura dominante comparando modelos dinâmicos invariantes com a idade padrão e modelos estáticos (método da curva guia). Para a avaliação dos modelos foram utilizados critérios quantitativos e qualitativos. Também foi verificada a estabilidade dos modelos candidatos, sendo preferido o modelo que resultou em menos mudanças de classes na predição da mesma parcela em diferentes idades. O modelo de Lundqvist-Korf com o método da curva guia se mostrou eficiente, sendo recomendado para a classificação de sítios e para a predição de altura dominante em povoamentos de mogno africano. A amplitude dos índices de sítio, na idade de referência de 15 anos, foi de 17 a 33 metros.

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How to kill a tree: empirical mortality models for 18 species and their performance in a dynamic forest model

Hülsmann

Bugmann

Cailleret

et al. 2018

Ecological Applications

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Dynamic Vegetation Models (DVMs) are designed to be suitable for simulating forest succession and species range dynamics under current and future conditions based on mathematical representations of the three key processes regeneration, growth, and mortality. However, mortality formulations in DVMs are typically coarse and often lack an empirical basis, which increases the uncertainty of projections of future forest dynamics and hinders their use for developing adaptation strategies to climate change. Thus, sound tree mortality models are highly needed. We developed parsimonious, species-specific mortality models for 18 European tree species using >90,000 records from inventories in Swiss and German strict forest reserves along a considerable environmental gradient. We comprehensively evaluated model performance and incorporated the new mortality functions in the dynamic forest model ForClim. Tree mortality was successfully predicted by tree size and growth. Only a few species required additional covariates in their final model to consider aspects of stand structure or climate. The relationships between mortality and its predictors reflect the indirect influences of resource availability and tree vitality, which are further shaped by species-specific attributes such as maximum longevity and shade tolerance. Considering that the behavior of the models was biologically meaningful, and that their performance was reasonably high and not impacted by changes in the sampling design, we suggest that the mortality algorithms developed here are suitable for implementation and evaluation in DVMs. In the DVM ForClim, the new mortality functions resulted in simulations of stand basal area and species composition that were generally close to historical observations. However, ForClim performance was poorer than when using the original, coarse mortality formulation. The difficulties of simulating stand structure and species composition, which were most evident for Fagus sylvatica L. and in long-term simulations, resulted from feedbacks between simulated growth and mortality as well as from extrapolation to very small and very large trees. Growth and mortality processes and their species-specific differences should thus be revisited jointly, with a particular focus on small and very large trees in relation to their shade tolerance.

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Modeling Forest Trees and Stands

Cited by 500 publications

References 308 publications

Aboveground Dendromass Estimation of Juvenile Paulownia Sp.

Aboveground Dendromass Estimation of Juvenile Paulownia Sp.

Site Quality Curves for African Mahogany Plantations in Brazil

How to kill a tree: empirical mortality models for 18 species and their performance in a dynamic forest model

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